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Source: pyopencl
Section: python
Priority: optional
Maintainer: Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
Uploaders:
Tomasz Rybak <serpent@debian.org>,
Andreas Beckmann <anbe@debian.org>,
Build-Depends:
debhelper-compat (= 13),
dh-sequence-numpy3,
dh-sequence-python3,
cmake,
ocl-icd-opencl-dev | opencl-dev,
opencl-c-headers,
pybuild-plugin-pyproject,
python3-all-dev,
python3-nanobind,
python3-scikit-build-core,
# only for running the tests
pocl-opencl-icd [amd64 arm64 armel armhf i386 hurd-i386] <!nocheck> | mesa-opencl-icd <!nocheck>,
python3-mako <!nocheck>,
python3-pytest (>= 7) <!nocheck>,
python3-pytools (>= 2024.1.5) <!nocheck>,
Build-Depends-Indep:
dh-sequence-sphinxdoc <!nodoc>,
python-mako-doc <!nodoc>,
python3-doc <!nodoc>,
python3-sphinx <!nodoc>,
python3-sphinx-copybutton <!nodoc>,
Standards-Version: 4.7.2
Rules-Requires-Root: no
Homepage: https://mathema.tician.de/software/pyopencl
Vcs-Git: https://salsa.debian.org/opencl-team/python-pyopencl.git
Vcs-Browser: https://salsa.debian.org/opencl-team/python-pyopencl
Package: python3-pyopencl
Architecture: any
Multi-Arch: no
Depends:
ocl-icd-libopencl1 | libopencl1,
pocl-opencl-icd | mesa-opencl-icd | opencl-icd,
python3-mako,
python3-numpy,
python3-pytools (>= 2024.1.5),
${misc:Depends},
${python3:Depends},
${shlibs:Depends},
Recommends:
python-pyopencl-doc <!nodoc>,
Suggests:
python3-pil.imagetk,
python3-matplotlib,
python3-opengl,
python3-pytest,
Description: Python 3 module to access OpenCL parallel computation API
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
.
This package contains Python 3 modules.
Package: python-pyopencl-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Build-Profiles: <!nodoc>
Depends:
${misc:Depends},
${sphinxdoc:Depends},
Recommends:
python-mako-doc,
python3-doc,
Suggests:
python3-pyopencl,
Description: module to access OpenCL parallel computation API (documentation)
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
.
This package contains HTML documentation and example scripts.
|
